The opportunity
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
What you'll do
Perform independent challenges of machine learning models used for credit: underwriting, credit risk, and/or fraud detection through thorough validation and ongoing monitoring
Identify model weaknesses and opportunities for improvement
Collaborate with model owners to remediate model validation findings
Partner cross-functionally to implement and maintain the company’s MRM framework
Partner with Internal Audit, Internal Controls, and Compliance to ensure: timely resolution of audit and regulatory requests
years of professional experience in related technical areas such as model: development, model validation, data science
What they're looking for
- Deep and broad knowledge and experience in machine learning modeling, credit: underwriting, credit risk management, and/or fraud detection and fraud risk management
- Proven ability to work with script languages(e.g., Python) and large-scale dataset (e.g., SQL)
- Extensive experience with machine learning platforms and frameworks (e.g.,: scikit-learn, pyspark) and cloud-based coding environments and databases
- BS, MS, or PhD in a quantitative field such as Math, Data Science, Computer Science
